Anna Rohrbach

About

Anna Rohrbach is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Language and Linguistics. According to data from OpenAlex, Anna Rohrbach has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 3 papers in Language and Linguistics. Recurrent topics in Anna Rohrbach’s work include Multimodal Machine Learning Applications (21 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Topic Modeling (7 papers). Anna Rohrbach is often cited by papers focused on Multimodal Machine Learning Applications (21 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Topic Modeling (7 papers). Anna Rohrbach collaborates with scholars based in United States, Germany and Israel. Anna Rohrbach's co-authors include Trevor Darrell, Marcus Rohrbach, Bernt Schiele, Niket Tandon, Dong Huk Park, Kate Saenko, Lisa Anne Hendricks, Ronghang Hu, Zeynep Akata and Aaron Courville and has published in prestigious journals such as International Journal of Computer Vision, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Anna Rohrbach i

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Fields of papers citing papers by Anna Rohrbach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Rohrbach. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anna Rohrbach. The network helps show where Anna Rohrbach may publish in the future.

Countries citing papers authored by Anna Rohrbach

Since Specialization

Citations

This map shows the geographic impact of Anna Rohrbach's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anna Rohrbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Rohrbach more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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